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1/ Volatility affects gamma by flattening its curve. When volatility is high, gamma spreads out over a wider range of strike prices. This means the change in delta occurs more gradually. Great visualization 📽️

1,878,170 views • 1 year ago •via X (Twitter)

10 Comments

Menthor Q's profile picture
Menthor Q1 year ago

2/ A lot of FREE material here covering option valuation, greeks and risk management. Link 🔗

RedEngineer's profile picture
RedEngineer1 year ago

I would pay for a service that modeled these in the form of trades like an atm spx butterfly. I have spreadsheets but I would love to see animation.

Menthor Q's profile picture
Menthor Q1 year ago

Soon

Konstantinos's profile picture
Konstantinos1 year ago

Or put in a different way, the tails become fatter

Financelot's profile picture
Financelot1 year ago

Interesting choice of classical song 🤣

Menthor Q's profile picture
Menthor Q1 year ago

lol

BoxBrook's profile picture
BoxBrook1 year ago

I had one of those but the wheels fell off.

Jeff Joseph Mathew's profile picture
Jeff Joseph Mathew1 year ago

Can i use your products in Indian markets ?

ochlocracy's profile picture
ochlocracy1 year ago

The most informative thing you've every posted. 🍸👍

Menthor Q's profile picture
Menthor Q1 year ago

Thank you 😀

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11,498 views • 5 months ago

If You Want to Finally UNDERSTAND how to use GAMMA EXPOSURE (GEX) , just Imagine Walking Into a Bread Shop🥖 A introduction to how to ACTUALLY trade with GEX Every morning on your way to work, you stop by the same neighborhood bakery. For days, you've noticed the baker puts exactly 10 loaves of bread on the shelves before opening. It's consistent. Every day, there are 10 loaves available for customers to buy. Then one Sunday, something changes. Instead of putting out 10 loaves, the baker stocks 100 loaves before opening. That should immediately catch your attention. Why? Because the baker is increasing the amount of product available for customers to purchase. He has supplied more inventory because he expects more demand. If he didn't believe more customers were coming, there would be no reason to fill the shelves with ten times as much bread. Now think of the baker as the market maker. The bread is liquidity. The customers are traders. When Daily Net Gamma increases, market makers are doing something similar. They are increasing their long gamma exposure, which adds liquidity to the market. Just like the baker stocked more bread, market makers are supplying more liquidity because they anticipate increased buying activity. Now imagine the opposite. You walk into the bakery expecting the usual 10 loaves, but instead there are only 5. The baker hasn't run out of bread by accident. He's chosen to supply less inventory because he expects fewer customers. He's reduced the amount of product available. That reduction tells you something about his expectations. The same principle applies to Daily Net Gamma. When Daily Net Gamma decreases, market makers are reducing long gamma or increasing short gamma, removing liquidity from the market. Just as the baker stocked fewer loaves because he expected less demand, market makers are supplying less liquidity because they expect weaker buying. I use it to understand what market makers are expecting. An increase in Daily Net Gamma tells me dealers are adding liquidity, creating a more supportive environment for bullish price action. A decrease tells me they're removing liquidity, creating an environment where bullish moves have less support and downside risk becomes more likely. The final step is confirmation. Just because the baker stocked 100 loaves doesn't guarantee customers will buy them. You still have to watch people walk through the door. In the market, that's Net Volume. If Daily Net Gamma is increasing and Net Volume begins expanding positively, market makers' expectations are being confirmed by actual buying. If Daily Net Gamma is decreasing and Net Volume turns increasingly negative, the reduction in liquidity is being confirmed by selling pressure. Daily Net Gamma tells you what the market maker expects. Net Volume tells you whether the customers actually showed up. When you understand the relationship between those two, you're no longer guessing where the market might go. You're reading the expectations of the market makers and waiting for traders to confirm them.

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180,626 views • 4 months ago